---
license: apache-2.0
base_model: VMware/roberta-base-mrqa
tags:
- generated_from_trainer
model-index:
- name: roberta-vmw-mrqa-s
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/favcowboy/huggingface/runs/v37hcc55)
# roberta-vmw-mrqa-s

This model is a fine-tuned version of [VMware/roberta-base-mrqa](https://huggingface.co/VMware/roberta-base-mrqa) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.2333

## Model description

More information needed

## Intended uses & limitations

More information needed

## Training and evaluation data

More information needed

## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 1e-05
- train_batch_size: 20
- eval_batch_size: 20
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.03
- training_steps: 500

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 1.149         | 0.0357 | 50   | 1.2558          |
| 1.1432        | 0.0715 | 100  | 1.2662          |
| 1.1559        | 0.1072 | 150  | 1.2555          |
| 1.2238        | 0.1430 | 200  | 1.2339          |
| 1.1742        | 0.1787 | 250  | 1.2422          |
| 1.169         | 0.2144 | 300  | 1.2393          |
| 1.1487        | 0.2502 | 350  | 1.2296          |
| 1.163         | 0.2859 | 400  | 1.2310          |
| 1.1779        | 0.3217 | 450  | 1.2311          |
| 1.1303        | 0.3574 | 500  | 1.2333          |


### Framework versions

- Transformers 4.42.0.dev0
- Pytorch 2.3.0+cu121
- Datasets 2.19.2
- Tokenizers 0.19.1